OOIR: Observatory of International Research

Papers

(The TQCC of ACM Transactions on Information Systems is 15. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)

Article	Citations
Periodic Graph Neural Networks for Click-Through Rate Prediction in Online Advertising	1410
Learning Implicit and Explicit Multi-task Interactions for Information Extraction	426
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services	283
SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation	183
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning	152
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls	151
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph	137
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network	124
Learning from Hierarchical Structure of Knowledge Graph for Recommendation	104
DiffuRec: A Diffusion Model for Sequential Recommendation	99
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments	94
Genomics-Enhanced Cancer Risk Prediction for Personalized LLM-Driven Healthcare Recommender Systems	94
SSR: Solving Named Entity Recognition Problems via a Single-stream Reasoner	94
Review-Enhanced Universal Sequence Representation Learning for Recommender Systems	90
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification	90
ID-centric Pre-training for Recommendation	82
Bottlenecked Heterogeneous Graph Contrastive Learning for Robust Recommendation	78
H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation	75
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences	70
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation	70
CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models	69
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation	68
Divide-and-Conquer: Cold-Start Bundle Recommendation via Mixture of Diffusion Experts	66
FedHoG: Federated Homogeneous Graph Neural Network for Privacy-Preserving Recommendation	64
Revisiting Conversation Discourse for Dialogue Disentanglement	64

A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	61
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions	59
Bias and Debias in Recommender System: A Survey and Future Directions	57
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 2	57
Toward Best Practices for Training Multilingual Dense Retrieval Models	56
A Review Selection Method Based on Consumer Decision Phases in E-commerce	56
Listwise Generative Retrieval Models via a Sequential Learning Process	54
Beyond Texts: Incorporating Co-occurrences into the Review-based Conversation Recommendation Systems	53
On the Use of LLMs for Relevance Labelling	53
Learning Discrete Identifiers and Dense Vectors for Generative Retrieval	53
Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation	52
Collaborative Sequential Recommendations via Multi-view GNN-transformers	52
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach	52
Enhancing ID-based Recommendation with Large Language Models	51
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms	50
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems	49
On the User Behavior Leakage from Recommender System Exposure	49
A Consistent Dual-MRC Framework for Emotion-cause Pair Extraction	49
SoREX: Towards Self-Explainable Social Recommendation with Relevant Ego-Path Extraction	47
Introduction to the Special Issue on Causality Representation Learning in LLMs-Driven Recommender Systems	46
Utilizing Large Language Model for Conversational Information Seeking via Dual-Query Generation and Joint-Encoding	46
MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks	45
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion	45
Erratum: Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach	45
Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning	44
Revisiting Bag of Words Document Representations for Efficient Ranking with Transformers	42
Variational Type Graph Autoencoder for Denoising on Event Recommendation	42
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences	42
OpenEP: Open-Ended Future Event Prediction	40
A Systematic Review of Cost, Effort, and Load Research in Information Search and Retrieval, 1972–2020	40
Privacy-preserving Cross-domain Recommendation with Federated Graph Learning	39
Angle-QPP: Improving Query Performance Prediction through Large Language Models and Angle Interaction in Complex Vector Space	38
A Dual-branch Learning Model with Gradient-balanced Loss for Long-tailed Multi-label Text Classification	38
Cluster-Based Graph Collaborative Filtering	38
User Behavior Simulation for Search Result Re-ranking	37
Query Performance Prediction Using Relevance Judgments Generated by Large Language Models	37
Retrieval for Extremely Long Queries and Documents with RPRS: A Highly Efficient and Effective Transformer-based Re-Ranker	37
Meta-Learning to Rank for Sparsely Supervised Queries	36
Graph Neural Pre-training for Recommendation with Side Information	35
The Influences of a Knowledge Representation Tool on Searchers with Varying Cognitive Abilities	35
Contrastive Self-supervised Learning in Recommender Systems: A Survey	35
LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models	34
Sequential Recommendation with Multiple Contrast Signals	34
Towards Goal-oriented Intelligent Tutoring Systems in Online Education	33
EGCL: An Effective and Efficient Graph Contrastive Learning Framework for Social Recommendation	33
Personality Dialogue Agent Based on Personality Description and Conversation History	33
Causal Inference in Recommender Systems: A Survey and Future Directions	33
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing	33
Average User-Side Counterfactual Fairness for Collaborative Filtering	33
Reinforcement Routing on Proximity Graph for Efficient Recommendation	32

Multi-Agent Attacks for Black-Box Social Recommendations	31
On Elastic Language Models	31
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding	31
Beyond Pointwise: Exploring Comparative Approaches for Predicting Query Performance Using LLMs	30
Knowledge Graph Pruning for Recommendation	30
Explaining Recommendation Fairness from a User/Item Perspective	28
Our Model Achieves Excellent Performance on MovieLens: What Does It Mean?	28
Geometric-Augmented Self-Distillation for Graph-Based Recommendation	27
TriMLP : A Foundational MLP-Like Architecture for Sequential Recommendation	27
SimCDR: Preserving Intra-Domain Similarities of Users for Cross-Domain Recommendation	26
Corrigendum: One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems	25
Triple Sequence Learning for Cross-domain Recommendation	25
Knowledge-Driven Reasoning for Compatible and Interpretable API Recommendation via Teacher LLM Distillation	25
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation	25
Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order	25
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors	25
Adaptive Temporal Expert Routing with Hierarchical Wavelet Enhancement for Multi-Modal Sequential Recommendation	24
Online and Offline Evaluation in Search Clarification	24
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1	24
A Survey on the Memory Mechanism of Large Language Model-based Agents	24
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation	23
Ranking Models for the Temporal Dimension of Text	23
Stopping Methods for Technology-assisted Reviews Based on Point Processes	22
Towards Efficient Coarse-grained Dialogue Response Selection	22
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model	21
RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction	21
Cooking with Conversation: Enhancing User Engagement and Learning with a Knowledge-Enhancing Assistant	21
Teach and Explore: A Multiplex Information-guided Effective and Efficient Reinforcement Learning for Sequential Recommendation	21
A Graph-Enhanced Defense Framework for Explainable Fake News Detection with LLM	21
Denoising Heterogeneous Graph Pre-training Framework for Recommendation	21
One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems	20
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks	20
Exploring Time-aware Multi-pattern Group Venue Recommendation in LBSNs	20
The In-Situ Effect of Offensive Ads on Search Engine Users	20
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation	20
DRAR: Diffusion-Based Relation Augmentation for Knowledge-aware Recommendation	19
MvStHgL: Multi-View Hypergraph Learning with Spatial-Temporal Periodic Interests for Next POI Recommendation	19
Uncovering Hidden Connections: Iterative Search and Reasoning for Video-grounded Dialog	19
Post-Training Attribute Unlearning in Recommender Systems	19
How Can Recommender Systems Benefit from Large Language Models: A Survey	19
Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval	18
WebGLM: Towards an Efficient and Reliable Web-Enhanced Question-Answering System	18
Knowledge Base Embedding for Sampling-Based Prediction	18
Now that your System has been Reproduced, What does this Mean for the Users?	18
Person-action Instance Search in Story Videos: An Experimental Study	18
Corrigendum: A Content- and Context-Aware Click Model Based on Dynamic Graph Neural Networks	18
Inter- and Intra-Similarity Preserved Counterfactual Incentive Effect Estimation for Recommendation Systems	18
DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation	18
Robust Neural Information Retrieval: An Adversarial and Out-of-Distribution Perspective	18
Counterfactual Explanation for Fairness in Recommendation	17
EffiPOI: A Product Quantization Framework Based on Knowledge Distillation for Efficient POI Recommendations	17
Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews	17
perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games	17
Rebalancing Discriminative Responses for Knowledge Tracing	17
Contrastive Graph Prompt-tuning for Cross-domain Recommendation	17
Debiased Cognition Representation Learning for Knowledge Tracing	17
Building a Coding Assistant via the Retrieval-Augmented Language Model	16
When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs	16
Causal Time-aware News Recommendations with Large Language Models	16
Deep Coupling Network for Multivariate Time Series Forecasting	16
A Variational Neural Architecture for Skill-based Team Formation	16
Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs	16
Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing	16
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems	16
Unsupervised Social Bot Detection via Structural Information Theory	16
Rethinking User Retention Modeling in Recommendation	16
Distributional Fairness-aware Recommendation	16
Hierarchical Gating Network for Cross-Domain Sequential Recommendation	16
Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation	15
Efficient and Effective Role Player: A Compact Knowledge-grounded Persona-based Dialogue Model Enhanced by LLM Distillation	15
Efficient Multi-task Prompt Tuning for Recommendation	15
DuAda: Adaptive Targeted Model Poisoning Attack Framework via Dummy User Simulation on Federated Recommendation	15
Personality-affected Emotion Generation in Dialog Systems	15
Robust Collaborative Filtering to Popularity Distribution Shift	15
A Survey of Personalization: From RAG to Agent	15
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation	15
Understanding Visual Saliency of Outlier Items in Product Search	15
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-NRecommendation	15
Breaking the Loop: Causal Learning to Mitigate Echo Chambers in Social Networks	15